Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks-Reference-Cited by-同舟云学术

Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks

Published:2024-01 Issue:1 Volume:9 Page:215-222
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Ng Eley¹^ORCID,Liu Ziang²^ORCID,Kennedy Monroe¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Stanford University, Stanford, CA, USA

2. Department of Computer Science, Stanford University, Stanford, CA, USA

Funder

NSF Graduate Research Fellowship

Stanford Institute for Human-Centered Artificial Intelligence, Stanford University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/7083369/10320104/10310116-aam.pdf

Reference30 articles.

1. Learn to Adapt to Human Walking: A Model-Based Reinforcement Learning Approach for a Robotic Assistant Rollator

2. Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks;nikolaidis;2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI) HRI,2015

3. Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction

4. Learning latent representations to influence multi-agent interaction;xie;Proc Conf Robot Learn,0

5. Human-Robot Collaborative Carrying of Objects with Unknown Deformation Characteristics

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